It’s not easy to find a voice biometric identity verification solution for an enterprise that is both highly accurate and efficient. But these two critical elements go hand in hand. If you sacrifice the quality of the voice biometric engine to increase the speed of use for workers, the rate of false rejects—in which authorized end users become locked out of an application—can increase. As a result, productivity can be hindered and user frustration can reach an all-time high.
So, why do many voice biometric engines have such high rates of false rejects? A lot of the times this occurs because voice biometric recorders are highly attuned to picking up an end user’s specific voice—to the point where even a small change in the user’s mood or voice could affect the reading. Additionally, the recorder could pick up external environmental noises that could lead to false rejects.
VoiceVault solves this problem through a unique voice biometric adaptation process where end users update their voice prints periodically in order to reflect changes in their environment and behavior. By updating voice prints, end users can teach the biometric engine to be more knowledgeable to changes in their own voice, or environment. For instance, a user would simply record a voice print at home where it is quiet and then again in his or her busy work atmosphere. This is a quick and easy way of preventing the biometric engine from falsely rejecting voice prints, which reduces the overall time needed for a security check in.
Interested in learning more about VoiceVault’s unique voice biometric identity authentication process? Click here to read our white paper.